The following requirements must be fulfilled: 48 credits, including 24 credits in required courses and 24 credits in research culminating in a practice-based praxis. 

Note: Throughout the program, students must take required courses in lockstep with the cohort of students with which they matriculated.

Required courses
SEAS 8414Cybersecurity Analytics Tools
SEAS 8499Praxis Development for Cybersecurity Analytics
SEAS 8505Applied Machine Intelligence and Reinforcement Learning
SEAS 8601Resilient Enterprise Security Architecture
SEAS 8610Adversarial Machine Learning and Defense
SEAS 8620AI-Enabled Cyber Defense
Research phase
SEAS 8188Praxis Research for Doctor of Engineering in Cyber Analytics (taken for a total of 24 credits)

Additional requirements

  1. Students must earn a minimum grade of B- in all courses and must achieve a minimum GPA of 3.2 at the completion of their coursework to advance to the research phase.
  2. Students must complete the final examination on their praxis by preparing and defending their praxis before a committee of three faculty members. Students have a maximum of two attempts to pass the final defense.